Data & AI Transformation Architect

Role overview

Lead Data and AI transformation

• Assess current Data and AI capabilities and identify maturity improvement opportunities.
• Define and execute practical transformation roadmaps aligned with business priorities.
• Advise senior business and technology stakeholders.
• Drive adoption of modern data management, analytics, governance, and AI practices.
• Promote a data-driven culture across business functions.

Enterprise data architecture

• Develop enterprise-wide data architecture principles, standards, and frameworks.
• Further develop and operationalize the Enterprise Data Model.
• Align business objectives, governance practices, architecture standards, and technology investments.
• Support the evolution of Damen's Data and AI platform vision.
• Establish scalable data ownership, stewardship, quality, and lifecycle practices.

Business value and governance

• Translate business challenges into practical Data and AI solutions.
• Identify and prioritize high-value use cases with measurable business outcomes.
• Support responsible adoption of AI capabilities.
• Promote interoperability across SAP, Workday, Salesforce, Azure, and other strategic platforms.
• Embed governance, security, compliance, and data quality principles into implementations.

Influence and capability building

• Facilitate workshops, strategy sessions, and stakeholder discussions.
• Coach leaders and teams on Data Governance, Data Management, and AI adoption.
• Translate complex technical concepts into clear business language.
• Build relationships across functions, cultures, and geographies.
• Support organizational change and long-term capability building.

Experience

• Minimum 10 years of experience in Data Architecture, Data Management, Analytics, AI, Digital Transformation, or related disciplines.
• Proven experience leading enterprise-wide Data and AI transformation programs.
• Experience in an asset-intensive industry such as manufacturing, marine, shipbuilding, offshore, construction, engineering, energy, or utilities.
• Demonstrated success improving organizational data maturity and business adoption.
• Experience combining strategic consulting with practical hands-on implementation.
• Experience working within complex international organizations.

Technical expertise

• Enterprise Data Architecture and conceptual, logical, and physical data modelling.
• Data Governance, Master Data Management, and Data Quality Management.
• Microsoft Azure, Microsoft Fabric, Databricks, and Microsoft Purview.
• AI and Advanced Analytics.
• Enterprise platforms such as SAP, Workday, and Salesforce.
• DAMA-DMBOK and/or TOGAF knowledge or experience.

Personal attributes

• Consultant mindset with strong business acumen.
• Strategic thinker who can also execute.
• Excellent stakeholder management, communication, and facilitation capabilities.
• Pragmatic, hands-on, outcome-oriented, and comfortable in complex evolving environments.

About Damen